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from fossil fuels. Yet, many industrial and transport applications still rely on combustion due to their need for high energy densities and thermal processes. Electrofuels (e-fuels), produced from
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) department at Telecom Paris. Reinforcement learning (RL) has emerged as a useful paradigm for training agents to perform complex tasks. Model-based RL (MBRL), in particular, promises greater sample efficiency
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solution, e.g., event-based computing, which is particularly suitable for low-latency and low-power systems. In this promising computational paradigm, information is created, processed or transmitted only
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since 2009, currently contributing to the analysis and operation of XENONnT. The XENON group at SUBATECH includes 5 permanent researchers (2 from CNRS, 2 from IMT Atlantique, 1 from the University
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computational research. In particular: • A high-quality imaging platform • A dedicated biocomputing hub that guarantees reliable data storage, management, and advanced analytical capacity. Our laboratory is
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FieldComputer scienceYears of Research Experience1 - 4 Research FieldMathematicsYears of Research Experience1 - 4 Additional Information Eligibility criteria Skills/knowledge: computer vision, neural networks
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of the work is to advance and automate the use of ptychography on various sample types. In particular : 1) accelerate the reconstruction process using a multislice algorithm 2) allow a 3D reconstruction and 3
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the clinic and in silico. We focus on neurodegenerative processes and are especially interested in Alzheimer's and Parkinson's disease and their contributing factors. The LCSB recruits talented scientists from
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | 15 days ago
located in the IMAG building on the campus of Saint Martin d’Heres (Univ. Grenoble Alpes) near Grenoble, under the supervision of Bruno Raffin (bruno.raffin@inria.fr ), Andres Bermeo (andres.bermeo
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
Offer Description Within the framework of the GraphRec Project, our team investigates improvements to the relational learning approach. Relational learning has recently emerged as a powerful paradigm for